An Application on Electric Vehicle Charging Station Site Selection With Multi-Criteria Decision-Making Methods

As the population grows and vehicles are increasingly owned, emissions from fossil fuels are worsening environmental problems. In this context, electric vehicles (EVs) present a significant alternative for the development of sustainable transportation systems. However, for electric vehicles (EVs) to become a prevalent form of transportation, the establishment of an effective and efficient charging infrastructure is imperative. The primary objective of this study is to ascertain the most suitable location for the installation of an electric vehicle (EV) charging station within the Erzincan Binali Y & imath;ld & imath;r & imath;m University Yaln & imath;zbag Campus. During site selection, the analytical hierarchy process (AHP) and TOPSIS methods were used to evaluate the criteria. The study was conducted in two stages. In the first, seven active-use transformers on campus were weighed using the AHP method, then the most suitable one was selected using the TOPSIS method.In the second, seven parking areas were analysed using the same criteria. The parking lot selection used the AHP and TOPSIS methods, considering faculty and campus entrance distance, lot capacity and transformer preference score. The findings of the study demonstrate the efficacy of the AHP and TOPSIS methods in the context of multi-criteria and multi-stage decision-making processes. The integration of these methods has been demonstrated to facilitate the optimisation of EV charging station location selection, both in technical and practical terms.